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DeepL Blog

At DeepL, we power global communication through cutting-edge artificial intelligence solutions, including our core product, the DeepL Translator. Here on the DeepL Blog, we'll keep you updated on the latest developments in AI, our product offerings, and how we enable seamless communication—wherever people do business.

Further information about DeepL and our history can be found on our press page.

DeepL makes the Forbes AI 50 list as one of the world’s most innovative tech companies

Language AI leader DeepL recognized by Forbes as a top innovator in the field as it revolutionizes communication for 100,000 businesses globally

Global leader in Language AI, DeepL, has been named to the Forbes AI 50 list for 2024. This year’s list shines particular light on the companies powering higher productivity for both enterprises and consumers. Companies across the globe are rapidly adopting the latest AI technology to supercharge their operations and to scale their growth. DeepL’s recognition further cements its place in the AI landscape as a trusted and indispensable partner for over 100,000 global businesses to communicate across borders. The annual Forbes AI 50 list is a benchmark of the current state of AI. The unprecedented growth of AI is transforming productivity at scale while substantially reducing costs for enterprises. DeepL's suite of Language AI products accomplishes precisely this: businesses can communicate accurately across languages and borders—reducing the barriers to market entry that once stood in their way. For established global enterprises, accurate AI translation allows them to solidify their market hold, grow their customer base, and further secure brand recognition and loyalty.

Coming on the heels of its 2023 Forbes Cloud 100 list inclusion, DeepL continues to push the boundaries of AI technology. The inclusion of DeepL in this year's AI 50 list reinforces its fundamental growth trajectory as well as the innovative path it has forged as a pioneer in the AI space. DeepL trains its AI models on high-quality data, while incorporating human editors that further curate the quality of its products—which are  powered by DeepL Mercury, the world’s 34th fastest supercomputer. The company’s unique approach combines the expertise of world-class researchers and engineers with that of leading linguists to achieve top-notch translation accuracy that outclasses the major tech giants.

DeepL is empowering companies to establish a global footprint—quickly becoming the AI of choice for global businesses across verticals. Its enterprise-level security further differentiates it from the competition, as the company owns its own tech stack and operates within a rigorous security framework, making it a trusted partner for businesses to protect their data. To find out more about how DeepL can revolutionize your team’s communication, visit

How DeepL helps retailers speed up global expansion

What you need to know about how DeepL is aiding retail expansion:

  • Effective, accurate content localization is a must for global retail companies
  • DeepL’s AI translations help retailers enter new markets with speed and efficiency
  • Retail and e-commerce giants like Alza and Kazar use DeepL to boost revenue and improve customer experience

From post-pandemic shifts to economic pressures to the rise of AI, retailers are dealing with countless challenges. To not just survive but thrive in today’s retail environment, companies need to be faster and more competitive than ever before. They need to go global.

So, how does a company speed up global expansion and enhance customer experience in one go?  They localize their content. 

According to a recent study from Weglot, “nearly 73% of customers prefer to purchase a product or service from a site that offers information in their own language.” Another 40% stated that they wouldn’t buy products from websites in other languages. What’s more, according to FTI Consulting’s survey, U.S. online retail sales were projected to reach $1.14 trillion in 2023—a 10% increase from 2022. 

Without a doubt, the retail industry is growing—and localization is the key to success. In fact, our own localization research found that 96% of respondents reported a positive ROI from localization efforts. 65% reported an ROI of 3X or greater. 

But, like any worthwhile business strategy, localization takes time. That’s where DeepL’s AI translation comes in. With DeepL, retailers can localize content at scale and speak to customers in their own language—for a faster, more streamlined localization process. This allows retailers to prioritize high-impact, high-growth regions.

To further explore why DeepL is the best choice for retailers with ambitious international expansion plans, keep reading or visit our DeepL for retail page.

Supercharge localization with DeepL: 90% reduction in translation time and €2.79 million in efficiency savings

Illustration showing decrease in translation time and savings in each target market

Entering a new market is a heavy lift for localization teams. From product descriptions to customer reviews to marketing materials, there’s so much content retailers need to localize. Add in the fact that this content is often dynamic and changing, and it’s understandable why some localization teams struggle to keep up.

What’s more, localization can be a tricky process. It’s not just about translating text from one language to another, but adapting to different markets’ cultural and linguistic differences to really resonate with your target audience. Basically, translation is a part of the more complex localization process—and that’s where DeepL makes a big difference.

Using DeepL’s AI translations as a jumping-off point for localization allows retailers to increase efficiency, save time, enhance quality, and improve alignment. In fact, according to a recent study DeepL commissioned from Forrester Consulting, DeepL decreased translation time by 90%. This led to a 345% ROI and 2.79 million in efficiency savings over three years.*

The same study found that DeepL reduced translation workloads by 50% and resulted in process cost reductions of €227,430. This study clearly highlighted DeepL as a strategic investment for the interviewed organizations. What could your teams do with all that extra time?

DeepL for retail: consistency, quality, and scalability

When taking your retail company global, it’s vital to prioritize:

  • Consistency across brand and product terminology
  • High-quality translations
  • Scalability and time-to-market speed 

Let's take a look at how DeepL stacks up.

1. Consistency

With DeepL’s glossary, you can easily keep your brand- and product-specific terms consistent across languages. For international retailers, it’s important to standardize brand names, technical jargon, and product documentation. That way, when you expand to new markets and languages, you know everyone is on the same page.

Our glossaries also help retailers reduce costs and save time on manual editing. And with shared glossaries, it’s even easier to ensure consistency for teams and companies across international markets.

2. Quality

Accuracy is everything when localizing content. High-quality translations are critical for earning customer trust, complying with regulatory requirements, and improving multilingual communication. 

According to blind tests, DeepL is over 3x more accurate than its closest competitors. This is in large part due to DeepL’s cutting-edge neural networks and Language AI models, which allow for more nuanced, natural-sounding translations.

3. Scalability 

A successful market expansion strategy requires localization to keep pace, and DeepL allows retailers to translate content at scale. Instead of translating everything from scratch, retailers can use DeepL’s AI translations to get a head start. 

This, in turn, allows retail organizations to speed up time-to-market—accelerating global growth and keeping up with the competitive industry landscape.

How retail giants like Alza and Kazar use DeepL to conquer new markets

Illustration showing global expansion from existing markets to international markets

Many retailers are already using DeepL to enter new markets and expand globally. Among them are big-time retail companies like Alza and Kazar.

Alza: improving revenue and customer experience with localized content

Dubbed the “Czech Amazon”, Alza is an e-commerce company with markets all over Europe. After expanding to the U.K. and Central Europe, Alza needed high-quality translations that wouldn’t overburden its localization team. Enter DeepL. 

With DeepL API, Alza was able to translate large volumes of user reviews. This gave ‌customers quality assurance while shopping online and significantly increased its conversion rate. 

According to Jakub Kalina, Alza’s Head of Localization, DeepL has helped the retailer increase output volume, saying:

“Thanks to a significant cost reduction and freeing up our translators’ time, we can now take on new translation projects, so it looks like our translation volume will continue to grow—it could even double or triple in the coming months.”  

Kazar: launching new markets with high-quality AI translation

Kazar, a Polish online fashion brand, had a goal to expand to new European markets, such as Greece, the U.K., and Bulgaria. Here, Kazar recognized the need for a robust translation API that could quickly localize its product feed. 

After testing multiple translation options, Kazar determined that DeepL had the highest quality. According to Radomir Kiepas, Kazar’s B2B Development Partner and Marketplace Project Leader, DeepL API allowed the retailer to launch in new marketplaces and increase European order volume. 

When asked what he’d say to other companies considering machine translation, Kiepas stated:

“Trust that the DeepL API is at the highest level. I would say, don’t be afraid and just try it.”

Boost your global retail growth with DeepL’s AI

Accelerating market expansion while providing a consistently high-quality customer experience isn’t easy. But using transformative AI translation tools like DeepL to streamline localization helps retailers navigate global markets with greater ease.

To learn more about how DeepL Pro can help your company reach new customers and scale more efficiently, check out our DeepL for retail page.

*Data from a commissioned study conducted by Forrester Consulting on behalf of DeepL in 2024.

Our interview process: your guide to DeepL's interview journey for the Sales team

Are you getting ready for a DeepL interview or simply curious about our interview process? Either way, you're in good hands. I'm Nathan, and I'll be your guide through this journey. 

As one of DeepL's Talent Acquisition Specialists, I'm dedicated to finding the best talent for our Account Executive roles across EMEA. With over 8 ½ years of experience in the fast-paced world of B2B SaaS sales, I’ve supported a number of organizations at different stages of their business journeys, navigating complex hiring challenges and processes. Join me as I walk you through the different stages of our interview process, sharing insights and insider tips I've gathered over the years.

At DeepL, our interview process is designed to ensure that both the candidate and the company are a perfect fit for each other. Let's break down the process into four distinct stages:

First stage: recruiter screen

The initial stage of our interview process is the recruiter screen, which serves as an opportunity for us to evaluate if you’d be an initial good fit for DeepL. However, it’s equally important that DeepL is the right fit for you. Every stage of our recruitment process is reciprocal. During this stage, as a recruiter, I look to understand a candidate's motivations for considering DeepL. I consider whether you’re actively looking, what your expectations and ambitions are—just as we have criteria for what we’re looking for, you should, too. I also ask some general “housekeeping” HR questions to get a broader understanding of your background, experience, successes, and responsibilities. 

All of this ties together to see if there’s an initial cultural fit. For me, it’s quite simple. Are you a kind, approachable, easy-to-talk-to person? Someone I feel comfortable putting in front of the wider DeepL team? Finally, it’s just as important that you come prepared with insightful, meaningful questions for me—which I’m always happy to answer.

Second stage: One-on-one with hiring manager

So, we see an initial mutual fit—great! Next up is a one-on-one meeting with your potential manager. This is a great opportunity to see if you can work with and report to this person. It’s also a chance to see if your manager thinks you’ll be a good fit within their team. 

The goal of this stage is to delve beneath the surface of some areas covered in the first interview. For example: 

  • Experience and application of sales methodology
  • Objection handling
  • Successes and failures (aka learning opportunities)
  • Your ambitions and motivation outside of the role 
  • Questions around ownership and critical thinking

Third stage: panel interview/role play

The third round often requires the most candidate preparation. This stage typically consists of a 60-minute interview split into two sections.  

In the first half, you'll present and conduct a role play, usually with the hiring manager, followed by feedback. In the second half, another member of management will ask self-reflective questions based on our company values.

Fourth stage: peer interview or with leadership (depending on role)

Our final interview is an opportunity to meet with a future peer within the team. This provides a chance to understand what it means to be an Account Executive at DeepL. 

Similar to previous stages, our goal is to ensure you feel comfortable and happy with the people you meet—as they’ll play an integral role in your day-to-day work. It’s also important that our current employees feel excited for you to join us.

By structuring our interview process in these stages, we aim to thoroughly evaluate candidates while providing a transparent and engaging experience. The duration of an interview process can often depend on multiple factors, but we are a fast-moving company. On average, the process takes two weeks from start to finish. Now that you have a clear understanding of the interview stages, let's discuss some tips to help you navigate the process effectively.

Tips for candidates

Successfully navigating the interview process requires more than just technical expertise; it's about showcasing your character and commitment. Here are some practical tips to help you excel:

  • Treat the interview process as you would a sales opportunity. Conduct due diligence, do your research, and go above and beyond. Consider sending an email to your interviewer before the meeting to discuss the agenda and follow up with a thank-you note afterward.
  • A successful candidate is open, transparent, enthusiastic, and cooperative 

In conclusion, our recruitment process is reciprocal. It's not just about you being the best fit for DeepL, but also about us being the best fit for your next career move. Each interview stage gives you an opportunity to meet different members of our Revenue/Sales organization, allowing you to understand expectations. It also helps us align what you expect of us with what we expect of you.

As you prepare for your journey with DeepL, remember to do your research, come well-prepared for each interview, and ask insightful questions that demonstrate your enthusiasm for joining us on our incredible mission to break down language barriers.

If you're ready to take the next step in your career journey, we invite you to explore our current job openings on our careers page.

We look forward to welcoming exceptional talent to our team at DeepL!

DeepL’s Forrester study: 345% ROI and €2.79 million in savings for multinational organizations

What you need to know about DeepL’s TEI study by Forrester Consulting:

  • DeepL reduced translation time by 90% and sped up project timelines, with efficiency savings of €2.79 million for global enterprises
  • Using DeepL reduced translation workloads by 50% and generated a 345% return on investment (ROI)
  • With a 50% reduction in document flow to translation services, DeepL empowered translation professionals to increase efficiency and focus on more complex tasks

Ever wondered how AI translation impacts global business growth? Or what kind of cost savings and ROI an AI translation tool like DeepL has produced? 

Thanks to “The Total Economic Impact™ of DeepL”, a commissioned study conducted by Forrester Consulting in 2024 on behalf of DeepL, we have plenty of insights to share. The TEI methodology assesses investment value with four components—cost, benefits, flexibility, and risk—and illustrates the ROI of a technology's product and services. For over 20 years, it has been considered the gold standard for evaluating business impact.

For DeepL’s study, Forrester interviewed four organizations with experience using DeepL from the energy, financial services (Big 4), legal services, and pharmaceutical industries to create a single composite organization.

The study explains how reduced translation time impacted efficiency savings for internal and external business communications, while our blog post will explore some highlights from the study itself. Ready to jump straight to DeepL’s TEI study? Download the full TEI study

1. 90% reduction in translation time

According to DeepL’s TEI study, one of its key benefits was the 90% decrease in internal document translation time. This translated to significant time and cost savings for the interviewed organizations—which, in turn, helped them navigate global markets with greater ease and efficiency. 

In fact, the interviewed organizations reported efficiency savings of €2.79 million over a period of three years. This figure shows the true value of DeepL as a strategic investment, having helped transform multilingual communication.

2. 345% ROI and 50% reduction in translation workloads

Illustration showing DeepL's Total Economic Impact study from Forrester Consulting with ROI

Forrester Consulting also found that DeepL had an ROI of 345% and reduced translation workloads by 50%. This provided the interviewed composite organization with significant cost savings while maintaining high-quality, trustworthy translations. 

Over three years, this amounted to €227,430 in workflow and process cost reduction. With DeepL's Language AI, the interviewed composite organization could streamline their translation processes, ‌which allowed them to allocate resources more efficiently. 

Just consider this quote from one of our interviewed organizations’ employees, a Software Applications Manager at an energy company:

​​“I used to spend 10% of my time on translation-related tasks and now probably only spend 1% of time on them. With DeepL there is no need to search for translation tools and then use multiple tools to cross reference the translations because there’s so much confidence and trust in DeepL; it’s just a quick skim and quality check (according to my own confidence and knowledge in the language). I’m happy with the translation and quality, especially now with the use of the DeepL shortcuts feature.”

3. Enhanced human expertise with AI assistance

DeepL’s goal has always been to empower translators to do their best work. In our TEI study, Forrester Consulting discovered that DeepL reduced the document flow to translation service teams by 50%. This, in turn, allowed the interviewed organization’s in-house staff to manage translations more efficiently. 

According to a Product Manager in legal services, “DeepL really adds value in terms of reducing the number of translations that we have to do with other companies.”

This shift also helped translation professionals ‌focus on more complex, nuanced aspects of language and cultural interpretation—letting their expertise truly shine.

Reduce costs and speed up translation workflows with AI translation

Cover of DeepL's Total Economic Impact (TEI) complete study, Forrester TEI study

Based on these results, it’s clear that DeepL enhanced decision-making processes by providing: 

  • A positive ROI 
  • Significant cost savings
  • A decrease in translation time
  • The ability to enhance human expertise with Language AI 

To learn more about what made DeepL a strategic investment for global businesses, read the entire TEI study today.

Meet DeepL: the “Women at DeepL” Employee Resource Group

In this interview, Muneeba Mughal shares insights into her role at DeepL, as well as the formation and mission of “Women at DeepL”, an Employee Resources Group (ERG). She also delves into her personal journey and vision for fostering diversity and inclusion within the tech industry. 

Muneeba's story is a beacon of change, illustrating her commitment to creating a more inclusive and equitable workplace at DeepL. An important topic year-round, inclusivity in the workplace is especially significant during Women’s History Month. So, let’s dive into Muneeba’s story!

Could you introduce yourself and explain your role at DeepL?

Hi there! I’m Muneeba, originally from Pakistan and currently based in Berlin, Germany. I’ve been part of the DeepL team for about 2.5 years, working as a Platform Engineer within the DevOps track. 

My primary responsibilities include ensuring our infrastructure is reliable, minimizing downtime, and providing a standardized, user-friendly platform for our engineers. This enables them to develop, test, and run their services effectively—ensuring scalability and security.

What is “Women at DeepL”, and how did it all start?

The ERG is a voluntary, employee-led initiative focused on diversity and inclusion, formally supported by DeepL. It originated when I joined DeepL and realized that, while there was an accepting culture towards diversity, we lacked a formal mechanism to celebrate and spread this diversity across the organization. 

To address this, the People & Culture team initiated the Belonging, Equality, Diversity, and Inclusion (BEDI) movement. This ERG, particularly for women, aims to foster an inclusive workplace where everyone has the opportunity to voice their opinions and thrive.

What inspired you to lead this ERG at DeepL, and what challenges did you face?

My inspiration stems from my personal experiences in a predominantly male field, where I was often reminded of ‌gender disparities. Whether at university or in my professional life, I've faced challenges that have made me more determined to ensure future engineers, especially women, do not face similar obstacles. 

Leading this ERG was a chance to actively contribute to making our work culture more inclusive and fair. One of the main challenges was changing the existing subtle practices to more overt celebrations and acknowledgments of diversity. I am very grateful for the opportunity to be able to do it here at DeepL.

How has this ERG made an impact on diversity and inclusion within DeepL?

“Women at DeepL” has launched several key projects, including enhancing the recruitment process to be more inclusive of women and launching some internal projects focused on women's development. 

These initiatives aim to provide a safe space for women to share their experiences, challenges, and achievements—fostering a supportive community within DeepL. This has enabled female employees to have a voice within the company and allowed their perspectives to be considered in decision-making processes. 

It's also facilitated networking and mentorship opportunities, contributing to the professional growth of women in our organization. We're committed to expanding professional development opportunities tailored to the needs of female employees, with the goal of inspiring and supporting women in their pursuit of leadership roles.

Looking forward, what are your aspirations for this ERG and diversity at DeepL?

My vision is to see this ERG continue to flourish and help make DeepL an even more diverse, equitable, and inclusive workplace. 

I look forward to seeing more initiatives led by women to support their growth and to foster an environment where everyone—regardless of gender or identity—feels welcomed and valued. Our goal is to ensure that all employees have a fair and equitable chance to succeed in their careers, facing challenges that are unrelated to their identity or background.

We’re so appreciative of Muneeba for sharing her story with us, as it perfectly highlights DeepL’s year-round dedication to diversity, equality, and inclusion. 

To keep up with all of our exciting stories and meet more inspiring DeepL employees, we’d love for you to connect with us on LinkedIn

DeepL API strengthens security and flexibility with multiple API keys

What you need to know about multiple API keys:

  • Allow for greater independence and flexibility for DeepL API users
  • Increase security for situations where an API key is compromised
  • Improves API user experience with no disruption to existing workflows

Have you ever wished for more than one API key for your DeepL API subscription? Well, wish granted! We’ve officially launched support for multiple API keys in DeepL API. 

Previously, DeepL API users were limited to a single API key for all their development workflows. But you asked for more—and we heard you. Keep reading to find out what this exciting update means for you and your team.

Why are multiple API keys important to have?

Illustration showing secure API keys and usage patterns in different colors


As one of our most-requested features, this launch provides your team with unprecedented flexibility and allows you to create independent keys for all your needs. 

Unlike a single API key being used for local, test, staging, and production environments, this update allows you to create individual keys for each environment. Now, it’s easy to keep each key completely independent. 

Usage insight

Does your organization have a number of software engineers, development teams, or even freelancers working with DeepL API? If so, you can assign each one their own specific API key. 


This update also has a big impact on security. In the unfortunate case that a key is compromised, you now have a solid safety net in place.

For example, when a single key is used in multiple workflows, there’s always a risk it could be accidentally shared with unauthorized users. With this new functionality, you can create multiple keys and remove them as needed. This causes little to no disruption to your existing workflows, keeping your developers and users happy.

But wait—what is an API key?

Illustration showing four new API keys for secure authorization

While many of you know exactly what an API key is, others may not be as familiar with the term. 

First, there’s the “API” part, which stands for application programming interface. An API is a type of software that allows two or more applications to communicate. Next, we have the “key”. In this context, the key is a code or unique identifier used to authorize a developer, user, or application.

Basically, without the key, you can’t access the API. 

Why are API keys important?

For companies that prioritize proper user authentication and security, it makes sense to use API keys. You don’t want just anyone to be able to access your API.

And as mentioned earlier, using multiple API keys is vital for flexibility, usage insight, and increased security. Think of it this way: having one security guard for your business is nice. But depending on its size and complexity, one security guard might not be enough. You need multiple.

In short, having multiple API keys allows your organization to: 

  • Foster greater independence and flexibility
  • Gather helpful usage insight 
  • Enhance API security 

Ready to streamline your workflows with multiple API keys?

Multiple API keys make a world of difference for busy, security-minded companies—and we’re so excited to share this update.

Head over to your DeepL account to start powering your integrations with multiple API keys today!

Meet DeepL: how I advanced my career at DeepL

In today’s rapidly changing world, embarking on a new role can be an exciting opportunity to explore new possibilities. It requires a growth mindset, resilience, and a willingness to embrace new challenges.

Recently, Segolene Al Daccache, part of our Employer Branding team, sat together with Margot Novo to talk about her career journey at DeepL and the valuable lessons she learned along the way. From her initial position as a Marketing Operations Associate to her current role as a Communications Project Manager, Margot's path is a narrative of personal growth, adaptability, and the importance of aligning with a company's ethos.

Her journey is inspiring and highlights DeepL's strong commitment to nurturing talent and fostering a culture that values innovation, quality, and its people. Now, let’s dive in!

Could you please introduce yourself and your role at DeepL. Why did you decide to join us? 

With much pleasure! My name is Margot Novo, and I’m currently a Communications Project Manager at DeepL. I coordinate strategic communication initiatives, with a strong focus on maintaining a positive public image. Collaborating with diverse teams, I ensure that our messages align with our brand identity and resonate effectively with our target audience.

Through careful management of project timelines, budgets, and evaluations, I contribute to improving our public relations efforts, consistently helping stakeholders align effectively. Joining DeepL was a natural and exciting decision for me, driven by a combination of genuine passion for the product and with my vision of an ideal working environment. DeepL's innovation, quality, and impact on the world had captivated me long before the prospect of employment.

How has your role evolved over time?

This is a great question. I actually joined DeepL as Marketing Operations associate, but during the first week there was a project in the PR team that I helped support.

After less than one month, we decided that I would move to the PR team as PR Manager. Last December, I had the opportunity to grow my role within the team and that’s why I’m now a Communications Project Manager.

Reflecting on your career at DeepL, can you highlight a significant achievement or milestone that stands out in terms of your professional growth?

A significant achievement in my career was successfully managing the rapid expansion of our operations across multiple regions. Simultaneously managing the challenges and an effective path to growth, I implemented streamlined communication channels and collaborative frameworks.

Through careful planning and adaptation to local market nuances, we not only met but exceeded targets in terms of market share, revenue, and customer satisfaction. This achievement underscores my ability to navigate complexities, demonstrate adaptability, and foster cross-functional collaboration in dynamic and challenging scenarios.

DeepL values quality and long-term thinking. Can you share a specific example from your experience where these values played a crucial role in a project or decision?

When managing communication efforts for DeepL’s expansion into new markets, quality and long-term thinking were pivotal in shaping our approach. Instead of rushing to generate immediate attention, we invested time in understanding the local culture, preferences, and regulatory landscape.

This research informed our messaging and PR strategies, ensuring they resonated authentically with new audiences. Emphasizing quality over quick wins, we prioritized building relationships with local influencers and media outlets, aiming for sustained positive coverage rather than fleeting attention.

Navigating role transitions is a significant move. How did you manage it, and what advice do you offer for career growth within DeepL?

Navigating role transitions in my career involved strategic planning, continuous learning, and effective communication. When faced with a new role, I immersed myself in understanding the responsibilities, looked to mentors for guidance, and acquired relevant skills.

Transparent communication with current and new teams helped manage expectations and foster collaboration. Actively pursuing training opportunities enhanced my skills and demonstrated a commitment to personal and professional growth.

For those looking to grow within the company, my advice is to seek out new challenges, express interest in additional responsibilities, maintain a learning mindset, stay informed about industry trends, and actively build a professional network while remaining open to mentorship. Successful career growth requires a proactive and adaptable approach, a commitment to learning, and effective communication.

How has DeepL supported your continuous learning and development? Any specific opportunities or resources that stood out in your career progression?

My team lead has been a crucial support for my continuous learning and development within DeepL. Her guidance and mentorship have provided valuable insights into navigating various challenges and seizing opportunities for growth.

Additionally, DeepL's commitment to employee development is evident through the provision of a learning budget. I've actively taken advantage of this resource to enroll in training programs and acquire certifications that align with my career goals. This proactive approach, combined with the support from my team lead, has significantly contributed to my career progression. 

Reflecting on challenges, could you please share an experience with us that tested your abilities and what you learned from it.

A notable challenge in my career was the introduction of a new language in a complex situation with tight deadlines and unforeseen obstacles. The pressure was intense, and the balance between various aspects, from coordinating teamwork to managing stakeholder expectations, was exceptionally demanding.

This experience taught me the importance of adaptability and resilience. I learned to prioritize tasks, delegate effectively, and maintain clear lines of communication in stressful situations.

How has teamwork shaped your experience at DeepL, particularly during role transitions?

Teamwork has played a key role in my work experience, especially during role transitions. When transitioning to a new role, collaboration with my team was essential for a smooth integration. Through open communication, I was able to tap into the collective knowledge and experience of my colleagues and gain insights that helped me understand the nuances of my new responsibilities.

Looking back, are there projects or initiatives that you consider turning points in your career within DeepL?

Stepping up during a shortage of team members proved to be a transformative turning point in my career. Faced with the challenge of limited resources, I assumed additional responsibilities and played a pivotal role in ensuring the success of key projects.

This experience not only proved my ability to handle pressure and deliver results in challenging circumstances, but also demonstrated a strong sense of accountability and commitment to the team's success. The proactive approach and successful project outcomes were recognized within the organization, leading to increased trust and accountability.

This turning point was instrumental in facilitating a change in my position to Project Manager, underscoring the impact that taking initiative and going above and beyond in the face of challenges has on career growth and advancement.

What personal values align well with DeepL's culture, and how have they influenced your career path within the company?

I personally value caringness, which aligns well with the culture of DeepL and has profoundly influenced my career path within the company. This shared commitment to caring for others has been a driving force behind my approach to teamwork and my overall work ethic.

Embracing DeepL’s  "we care" value has not only fostered a positive and supportive work environment, but has also guided my decision-making processes, ensuring a focus on empathy, collaboration, and genuine concern for the well-being of my colleagues. 

Margot, it's truly inspiring to hear about your journey and the positive ripple effects your transition has had on both you and your team's growth. Thank you for sharing your experiences with us.

I'm thankful for the chance I've been given and the support I've received. I'm excited to keep growing in my current position and to keep contributing towards DeepL's achievements.

This story beautifully illustrates how embracing change, setting priorities, seeking support, and building teamwork can guide us through career transitions and leave us stronger in the end.

At DeepL, we believe that—although the journey may have its hurdles—the rewards are deeply meaningful and foster growth and new learning for every team member. If this story resonates with you and you're considering a dynamic career change, we invite you to connect with us on LinkedIn and discover the experiences that await you #InsideDeepL!

How HubSpot tackled localization and scaled content production with DeepL

Want to learn more about the role of machine translation in global marketing and discover localization best practices? Download the full report. 

What you need to know about HubSpot and DeepL: 

  • CRM titan HubSpot owns over 75,000 web assets, many of which require real-time localization 
  • Scaling localization efforts to publish multilingual content quickly can be difficult 
  • HubSpot has created an organized, streamlined localization process with the help of machine translation services, like DeepL 

Does your business operate worldwide? If so, how do you appeal to varied, international audiences? In today's globalized world, many businesses face a similar challenge: the need to communicate effectively with customers across languages, countries, and cultures. Here, localization presents a practical solution.  

By making content available in multiple languages, localization helps companies connect with diverse audiences and succeed internationally. To explore the impact of localization on businesses, DeepL conducted research, resulting in our report: The state of translation and localization in 2023-2024: insights, challenges, and opportunities. The research found that 75% of marketers in the U.S., Germany, France, and Japan believe localized content significantly boosts customer engagement.

HubSpot, a leading provider of customer relationship management (CRM) tools, is well-versed in the art of localization. By integrating DeepL's cutting-edge AI translation into its localization workflow, HubSpot has scaled its efforts to deliver high-quality, multilingual content faster than ever before. In this blog post, we'll explore how HubSpot leveled up its localization strategy and stayed ahead of global competition by running DeepL under the hood.  

The localization challenge: juggling languages and ever-changing content 

illustration showing translation process and content localization for international markets

HubSpot owns and manages a staggering number of web assets, including landing pages, blog posts, and more. With more than 175,000 customers in 100 countries worldwide, HubSpot must provide accurate localization to meet the needs of its diverse customer base. As if the sheer volume of content wasn’t enough, there’s also the need for real-time updates in HubSpot’s 40+ supported languages to consider. 

To meet this challenge, HubSpot uses Mova, an internally developed system that acts as a central repository and combines the functionality of tools such as Slack, Jira, Figma, and Workato.  

With Mova, HubSpot can monitor its web assets in real time, making it easy for the company to quickly identify those that need localization and set up automated workflows. The key to HubSpot's excellent localization quality, however, lies in its use of state-of-the-art machine translation services like DeepL and ModernMT.  

Automation and AI translation make for smooth sailing 

Thanks to advanced neural networks and AI translation technology, DeepL’s translations are highly accurate and natural-sounding—meaning HubSpot can translate its web assets with precision and confidence. 

In fact, with Mova's integration of DeepL, HubSpot can translate assets one at a time or set up an automatic translation process, triggered when changes are made in the original language. 

With DeepL, HubSpot has scaled its localization efforts and now publishes multilingual content faster than ever. This efficient automation reduces the workload for its localization team, allowing them to focus on more critical tasks.  

Moreover, HubSpot can optimize its localization workflows based on asset performance. Popular blog posts, for example, can be assigned a workflow that includes human review alongside machine translation, ensuring the highest quality where it matters most. 


The experts have spoken: technological solutions are pivotal  

Illustration of a document showing content localization reaching international audiences in a global market

HubSpot’s localization efforts are extensive and effective. While several factors contribute to its success, according to Dierk Runne, HubSpot’s Senior Manager of Localization and Systems, technological literacy plays a large role: 

“Having technological literacy and the capability to come up with technological solutions for the challenges that you and your stakeholders face is pivotal for internal localization teams. You will also need the capability to implement these solutions, but that doesn’t necessarily mean you’ll need dedicated engineering headcount. There are other options like outsourcing or low-code/no-code solutions, depending on your needs.” 

Additionally, Dierk recommends working closely with other teams' stakeholders and sharing localization knowledge to drive further value and enablement.  

Want to discover localization best practices for your company? 

HubSpot's use of DeepL in its localization workflow has helped this CRM giant meet the unique demands of its global customer base. By harnessing the power of AI-powered machine translation, HubSpot has successfully scaled its localization efforts—delivering high-quality multilingual content and optimizing resources.  

As businesses expand globally, the use of AI machine translation services like DeepL will undoubtedly play a role in bridging communication barriers and fostering meaningful connections with customers. To learn more about the importance of machine translation in international marketing, download our report today. 

Glossaries: an efficient and cost-effective way to stay consistent

Update: it's official—the DeepL glossary is now available in Korean! Since its launch in 2023, there's been a strong demand for Korean to be added to the glossary. 

We're excited to help even more global teams scale efficiently and maintain consistency. Plus, keep an eye out for additional DeepL glossary languages in the coming months.

Back in May 2022, we explored how to create glossary entries to ensure that words and phrases are always translated in your preferred way. Since then, we've leveled up this feature with shared glossaries and the implementation of 60+ glossary language combinations between:

  • English
  • Spanish
  • German
  • Japanese
  • French
  • Italian
  • Polish
  • Dutch
  • Portuguese
  • Chinese
  • Russian
  • Korean

This means that you can create custom glossaries using any combination of the above languages. Whether your company needs English and Chinese, French and Polish, or Japanese and German (the list goes on), DeepL has you covered. Here we’ll explore how the glossary feature's latest improvements can specifically help businesses grow their enterprise, consolidate internal and external communication, and increase team productivity.

Why should businesses use translation glossaries?

Glossaries ensure consistency in messaging across multiple languages. For multinational companies, standardizing terms such as technical jargon, product names, or product documentation keeps everyone—clients, customers, and team members—on the same page, even when translating text to other languages. This also helps to reduce costs and time lost with manual editing.

We’ve recently introduced shared glossaries for users with a DeepL Pro for Business subscription. This means team members can create their own glossaries and then share those with other colleagues or their entire team—increasing collaboration and translation efficiency all at once.

How can you create effective glossaries?

Glossaries help ensure translation consistency by tailoring and standardizing the output of specific words and phrases. To create an effective DeepL glossary for your team, it’s essential to consistently update it with the latest company terminologies. 

This involves adding entries for new products and services or removing or amending entries when they are discontinued. By doing so, you can make sure that your translations are always up to date and minimize having to manually edit internal and external communications. 

When team members use the shared glossaries feature, they can all access the same predefined glossary entries. This guarantees that everyone translates specific words and phrases uniformly, regardless of who is doing the translation.

The glossary UI depicts an entry for Legal Terms with the source text as English and the target text as German. The English acronym "GDPR" is then set to always translate to DSGVO in German. On the top right a cursor toggles the button "Share with team" so colleagues can use this same entry as well.

How can you use the glossary with DeepL products?

The glossary feature can be used as a part of a subscription plan (Starter, Advanced, or Ultimate) as well as with the DeepL API.  

With a subscription plan you can:

  • Use glossaries for text translation on the web translator and desktop apps 
  • Apply glossary specifications to document translations in the desktop app—which preserves the original formatting 

With the API you can:

  • Standardize translations across your website  
  • Integrate glossary specifications into your company’s internal tools and platforms 

How global companies leverage glossaries

Global companies use the DeepL glossary to ensure consistency throughout their communication.

For example, Deutsche Bahn, Germany’s national railway company—and the largest railway operator in Europe—uses the DeepL glossary feature to maintain translation consistency for its 320,000 employees worldwide. This is especially important for train conductors and station employees who must communicate across languages for safety and scheduling purposes. 

The glossary feature is also highly used by organizations in the legal industry, where translation errors and inconsistencies can have immense consequences. DeepL's AI is consistently trained using official EU documents, allowing it to accurately translate intricate linguistic nuances in complex legal texts.

Glossary and your organization

Maintaining consistent messaging helps keep growing teams on the same page. It also ensures that prospective customers develop a clear understanding of your business and how you can alleviate their pain points. If you'd like to refine your company's messaging using DeepL Pro, get in touch with our Sales team. You can also learn more about the glossary feature in our Help Center.

DeepL completes SOC 2 Type II report, further enhancing security and confidentiality

What you need to know about SOC 2 Type 2 reports and DeepL:

  • A SOC 2 Type II report evaluates a company’s information systems regarding security, availability, confidentiality, processing integrity, and privacy
  • This report illustrates DeepL’s continued dedication to world-class data protection and security
  • DeepL’s full SOC 2 Type II report can be accessed via request here

Does your company have specific security requirements for all the tools and vendors it works with? If you answered yes, good—you should. From GDPR to ISO 27001, there are many important data security and privacy measures you need to take into consideration.

On that note, we have great news. DeepL now has another qualification to add to its growing list: the SOC 2 Type II report. This extensive auditing procedure provides the proof that security-conscious organizations need when choosing which tools and service providers to work with.

Want to learn more about what this is, why it’s important, and how you can access DeepL’s report? Read on.

What is a SOC 2 Type II report?

an illustration of the Soc 2 type 2 five trust service principles

The Service and Organization Controls (SOC) 2 Type II report was ​​developed by the American Institute of Certified Public Accountants (AICPA), based on the Trust Services Criteria (TSC), as a way to define proper customer data management. 

The purpose of the SOC 2 report is to evaluate information systems of a company or organization based on five “trust service principles”, which are:

  • Security: this is a critical principle for all companies or organizations that deal with sensitive or confidential information. For DeepL, this means that we put controls in place to protect against theft, unauthorized access, or destruction of our systems and data.
  • Availability: this principle is vital for companies that rely on their systems and data to conduct their day-to-day business operations. At DeepL, this means we use controls to maintain the consistent availability of all our systems and data. 
  • Processing integrity: critical for organizations that rely on accurate data to make business decisions, meeting this principle requires controls be put in place to ensure the accuracy and completeness of data processing.  
  • Confidentiality: this principle is necessary for organizations that handle sensitive data and information. At DeepL, it means we introduce controls to safeguard the confidentiality of our systems and data. For example, the SOC 2 Type II audit verified that we never store any DeepL Pro translation data—effectively maintaining the full confidentiality of users’ data.
  • Privacy: this principle is critical for organizations that collect, process, or store personal information, and refers to controls put in place to protect the privacy of personal data.

According to Maximilian Ehrlich, DeepL’s Information Security Officer, it’s important to note that “each SOC 2 Type II report is unique to the organization and, therefore, reflects its own designed controls in accordance with its business objectives, risks, and adherence to the trust service criteria.” 

As the SOC 2 Type II report provides critical information on how customer data is managed, it must be issued by an outside auditor. It’s the job of this auditor to assess how well the company or organization in question is complying with the five trust principles defined above.

How is a SOC 2 Type II report different from a Type I report?

If there’s a SOC 2 Type II report, there has to be a Type I, right? Indeed, there is—and there are some important distinctions between the two. 

The main difference between the Type I and the Type II report is that the Type I describes the existing controls of a company. On the other hand, the Type II requires that an independent auditor checks the described controls.  

According to Ehrlich, the Type II report proves that “the predefined policies and procedures have been successfully followed for a reporting period of 12 months", which is verified by a third party. Therefore, the Type II report serves as a much stronger testament to existing security controls than a Type I report. 

Why are SOC 2 Type II reports important?

While not every company requires their partners and service providers to have passed their SOC 2 Type II report, the most security-minded organizations do.

Successfully completing the SOC 2 Type II audit is a rigorous, extensive undertaking. Thus, having this report is a clear sign to all potential partners, suppliers, and clients that your company prioritizes data security and privacy—and you’ve put in the work to prove it. 

At DeepL, data security, privacy, and data protection are of the utmost importance—which is why we’re so pleased to share that DeepL has passed its independent SOC 2 Type II audit of its Pro service, conducted by a Certified Public Accountant (CPA).

Here, Ehrlich perfectly captures DeepL’s shared sentiment, stating: “We are proud to announce our SOC 2 Type II report as further evidence of DeepL’s commitment to security and validation of our security measures."

Want to read DeepL’s SOC 2 Type II report?

DeepL's SOC 2 type 2 (service organization controls) report cover

Of course, we’re happy to share DeepL’s audit verdict and the final report:

And if you’d like to learn more about how we protect customer data at DeepL, you can peruse our data security page or check out our data protection deep dive.